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Titlebook: Rigid Body Dynamics Algorithms; Roy Featherstone Book 2008 Springer Science+Business Media New York 2008

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發(fā)表于 2025-3-21 16:51:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Rigid Body Dynamics Algorithms
編輯Roy Featherstone
視頻videohttp://file.papertrans.cn/831/830375/830375.mp4
概述A comprehensive collection of the best rigid-body dynamics algorithms.Use of spatial (6D) vectors to greatly reduce the volume of algebra, to simplify the treatment of the subject, and to simplify the
圖書(shū)封面Titlebook: Rigid Body Dynamics Algorithms;  Roy Featherstone Book 2008 Springer Science+Business Media New York 2008
描述Rigid Body Dynamics Algorithms presents the subject of computational rigid-body dynamics through the medium of spatial 6D vector notation. It explains how to model a rigid-body system .and how to analyze it, and it presents the most comprehensive collection of the best rigid-body?dynamics algorithms to be found in a single source. The use of spatial vector notation greatly reduces the volume of algebra which allows systems to be described using fewer equations and fewer quantities. It also allows problems to be solved in fewer steps, and solutions to be expressed more succinctly. In addition algorithms are explained simply and clearly, and are expressed in a compact form. The use of spatial vector notation facilitates the implementation of dynamics algorithms on a computer: shorter, simpler code that is easier to write, understand and debug, with no loss of efficiency.
出版日期Book 2008
版次1
doihttps://doi.org/10.1007/978-1-4899-7560-7
isbn_softcover978-1-4899-7868-4
isbn_ebook978-1-4899-7560-7
copyrightSpringer Science+Business Media New York 2008
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沙發(fā)
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Roy Featherstones that produce a desired swarm behaviour without an . knowledge of the system features. For this reason, evolutionary or learning processes have been widely used to automatically synthesise group behaviours (see, for instance, Matari? 1997; Quinn et al. 2003; Baldassarre et al. 2007). In this paper,
地板
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Roy Featherstonepecial type of self-organization that arises through the nonlinear, distributed interactions between brain, body and environment (abbreviated BBE). The BBE perspective has been separately developed by multiple lines of research such as the extended mind (Clark and Chalmers 1998), distributed cogniti
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Roy Featherstones that produce a desired swarm behaviour without an . knowledge of the system features. For this reason, evolutionary or learning processes have been widely used to automatically synthesise group behaviours (see, for instance, Matari? 1997; Quinn et al. 2003; Baldassarre et al. 2007). In this paper,
7#
發(fā)表于 2025-3-22 17:13:55 | 只看該作者
Roy Featherstonepecial type of self-organization that arises through the nonlinear, distributed interactions between brain, body and environment (abbreviated BBE). The BBE perspective has been separately developed by multiple lines of research such as the extended mind (Clark and Chalmers 1998), distributed cogniti
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Dynamics of Rigid Body Systems,m simpler equations. These methods form the basis for various algorithms that appear in later chapters. However, the focus of this chapter is mainly on the mathematics of rigid-body dynamics, rather than on particular algorithms.
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發(fā)表于 2025-3-23 06:12:02 | 只看該作者
Modelling Rigid Body Systems, of rigid bodies. In this chapter, we look at ways of describing a rigid-body system in terms of its component parts. In particular, we seek to describe systems consisting solely of bodies and joints. Such a description can be called a ., on the grounds that it describes the system itself, rather than some aspect of its behaviour.
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